Improved aquila optimizer for swarm-based solutions to complex engineering problems

Improved aquila optimizer for swarm-based solutions to complex engineering problems

Abstract The traditional optimization approaches suffer from certain problems like getting stuck in local optima, low speed, susceptibility to local optima, and searching unknown search spaces, thus requiring reliance on single-based solutions. Herein, an Improved Aquila Optimizer (IAO) is proposed,...

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Bibliographic Details
Main Authors: Himanshu Sharma, Krishan Arora, Raghav Mahajan, Syed Immamul Ansarullah, Farhan Amin, Hussain AlSalman
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Metaheuristic algorithm
Particle swarm optimization
Engineering optimization design
Feature selection
Aquila optimizer
Improved Aquila optimizer
Online Access:https://doi.org/10.1038/s41598-024-79577-8
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https://doi.org/10.1038/s41598-024-79577-8

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